M. A. Weber

614 citations
26 papers · 448 · h-index 12

Impact in

Papers in

M. A. Weber

25 papers receiving 382 citations

Peers

M. A. Weber
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 180
  • Endocrinology, Diabetes and Metabolism 116
  • Reproductive Medicine 35
  • Behavioral Neuroscience 13
  • Pharmacology 54
Replace Jan Svedberg with:
Jan Svedberg Sweden
D. B. Galloway Australia
Shereen Hamza United States
John S. Cowan Canada
C.J. Oddie Australia
Oktay Hasan Öztürk Türkiye
Mary Tai United States
JP Coghlan Australia
R Terranova Italy
Gabby B. Hul Netherlands
M. A. Weber relative to Jan Svedberg Sweden Jan Svedberg's profile →
Citations per field
00.5×3.7×
Jan Svedberg · 1×
Citations per year

Countries citing papers authored by M. A. Weber

Since Specialization
Citations

This map shows the geographic impact of M. A. Weber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. A. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Weber more than expected).

Fields of papers citing papers by M. A. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Weber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. A. Weber. The network helps show where M. A. Weber may publish in the future.

Co-authors

The 25 scholars most cited alongside M. A. Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. A. Weber Line = papers co-authored together M. A. Weber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974108
2 197672
3
Glucocorticoid receptor distribution in rat testis during postnatal development and effects of dexamethasone on immature peritubular cells in vitro.
200033
4 200728
5 199327
6 198323
7 200020
8 202018
9 200016
10 197614
11 200814
12 198313
13 199910
14
Once-daily monotherapy with trandolapril in the treatment of hypertension.
199610
15 19769
16 20018
17 20164
18 19744
19 20243
20 19743

About M. A. Weber

M. A. Weber is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 26 papers that have together received 448 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Hormonal Regulation and Hypertension (5 papers), Infant Nutrition and Health (3 papers), Receptor Mechanisms and Signaling (3 papers), Sperm and Testicular Function (2 papers), Diabetes Treatment and Management (2 papers), Testicular diseases and treatments (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (180 citations), Endocrinology, Diabetes and Metabolism (116 citations), Reproductive Medicine (35 citations), Behavioral Neuroscience (13 citations) and Pharmacology (54 citations). M. A. Weber has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Gordon S. Stokes, J. I. M. Drayer, John H. Laragh, David B. Case, Hans J. Keim, Stephanie Groos, Gerhard Aumüller, M. Spielmann, Lutz Konrad and Ralph E. Purdy. Their work appears in journals such as Hypertension, Andrologia, Hormone and Metabolic Research, International Journal of Stroke and Drugs.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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